I am a Software Developer and Data Science Enthusiast graduating from North Carolina State University in December. My aim is to keep learning and gain a new piece of information each day. I enjoy investigating different problems and establishing answers, while developing a deeper understanding of the domain.
CSC505: Design and Analysis of Algorithm · CSC522: Automated Learning and Data Analysis · CSC573: Internet Protocols · CSC510: Software Engineering · CSC540: Database Management Concepts and Systems · ST515: Experimental Statistics for Engineers
GPA: 4.0/4.0
Data Structures · Object Oriented Programming · Analysis of Algorithms · Operating Systems · Computer Networks · Cryptography and System Security · Database Management System
GPA: 8.43/10 | 3.7/4
Analyzed network and host-based security appliance logs to determine the threat levels. Investigated incidents and collected additional information to either resolve or escalate the issue to the appropriate teams. Documented all activities during an incident and delivered the leadership with status updates of the incident.
Developed an algorithm to read results, analyze and generate reports of students with top percentiles and ones with failing grades. Designed a software application for the institution to analyze and visualize the results of students to significantly reduce the time to analyse result ten-folds.
Led the backend development of the web platform in PHP, where Investors can connect to Startups and vice-versa. Helped to create a wireframe for inter-user connectivity and user profiles, along with MySQL Database connectivity Provided three incremental updates to the website during the tenure.
Created a platform that inputs crop leaf images and utilizes a classifier at the back-end to classify and provide a diagnosis if any disease is detected. Developed and tested Deep Convolutional Neural Network for classification of images in 38 classes of diseases and achieved maximum accuracy of 99% by implementing classification using CNN.
Developed an application to create a summary of long reviews of products posted by buyers on Amazon and perform sentiment analysis to provide future buyers an insight into how the prior customers have liked the product.
Created a cross-platform application to store the educational data from the beginning of the student’s career in a centralized system.
Developed an algorithm to read results, analyze and generate reports of students with top percentiles and Ones with failing grades. Designed a software application for the institution to analyze and visualize the results of students.
Developed an application to simulate human-level intelligence in the game of chess using Minimax Algorithm and Alpha-Beta Pruning and achieved an accuracy of 79% in predicting One of the top 5 moves recommended by a traditional chess engine.
Developed a Convolutional Neural Network architecture to classify an image to one of the 10 classes of animals, utilizing a training dataset of 28000 images. Achieved an accuracy of 80% on testing.
Performed analysis of sales of an e-commerce web platform by uploading records of sales as a CSV file, which is processed and analyzed to generate an output consisting of graphs and charts, thus providing various trends and patterns in sales of products in a country.
Developed an application to emulate working of a Banking System, providing registration, fund transfer, and multiple account types. Helped to develop the frontend of the application using the Java Swing Framework.
Along with being a problem solver, I follow Chess avidly. I am rated around ~2000 on Lichess, and am active during my free time. I enjoy Cubing (Rubik's Cube) and can solve a 3x3 cube in 46 second, which is my personal best. Also, I enjoy solving Sudoku at times.
While I am not involved in any project work, i solve a few programming exercises on multiple platforms, or develop some funny projects (like predicting next number using a Neural Network).